[feature] line based fourier shell/ring correlation ("1D FRC") #45
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- Implemented `line_based_frc` function for computing line-based Fourier Ring Correlation with multiple threshold methods. - Added unit tests for `line_based_frc` to validate functionality with both PyTorch tensors and NumPy arrays. - Created example script to demonstrate usage of `line_based_frc` with generated test images.
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Added the option for for the Also added tests for |
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This is using the standard 2D Fourier Ring Correlation (FRC) defined in the often cited 2005 paper by van Heel et al., https://doi.org/10.1016/j.jsb.2005.05.009, but in 1D. The 1D version is great for highly anisotropic samples, when not a lot of information is given in a certain direction.
I added also an example with plotting functions for an highly anisotropic test pattern in
examples/line_based_frc.py:The function also takes in different thresholds and calculates all of them for a resolution in real space.
I also included tests in
tests/tools/test_analysis.pybased on the sample with the test pattern.